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Development of a Multidisciplinary Curriculum for Intelligent Systems

Development of a Multidisciplinary Curriculum for Intelligent Systems. Dimitris C. Lagoudas, Jeffery E. Froyd Othon K. Rediniotis Thomas W. Strganac John L. Valasek John D. Whitcomb Rita M. Caso. Combined Research Curriculum Development. http://smart.tamu.edu/CRCD.

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Development of a Multidisciplinary Curriculum for Intelligent Systems

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  1. Development of a Multidisciplinary Curriculum for Intelligent Systems Dimitris C. Lagoudas, Jeffery E. Froyd Othon K. Rediniotis Thomas W. Strganac John L. Valasek John D. Whitcomb Rita M. Caso

  2. Combined Research Curriculum Development http://smart.tamu.edu/CRCD

  3. Combined Research and Curriculum Development Project • Develop new curriculum track with a certificate on Intelligent Systems. • Track will consist of new courses as well as modifications of existing courses. • Impact will culminate in a year long senior design course dealing with the design of intelligent systems.

  4. Department Course Level Course# (credit) Instructor Students Enrolled Required Elective Brief Description of Course Innovation Aerospace Soph. AERO 201 (1) Strganac 30 Required Introduction to Aerospace Engineering Aerospace Junior AERO 304/306 Whitcomb/Lagoudas 20 Required Structural Analysis Systems Engineering Junior / Senior SYEN 489 (3) Rediniotis 20 Technical Elective Intelligent Structures and Systems Systems Engineering Junior / Senior SYEN 489 (3) Strganac 20 Technical Elective Fluid-Structure-Control interactions Aerospace Senior AERO 401 (3) Valasek 20 Required Aerospace Vehicle Design I Aerospace Senior AERO 402 (2) Valasek 20 Required Aerospace Vehicle Design II Aerospace Senior Aero 404 (3) Whitcomb 20 Technical Elective Mechanics of Advanced Aerospace Structures Aerospace Engineering Track in Intelligent Systems

  5. Department Course Level Course# (credit) I Students Enrolled Required/Elective Brief Description of Course Innovation Systems Engineering Junior/Senior SYEN 489 (3) 20 Required Intelligent Structures and Systems Systems Engineering Junior/Senior SYEN 489 (3) 20 Required Fluid-Structure-Control Interaction Aerospace Engineering Junior AERO 304 (4) 20 Elective Structural Analysis of Active Systems Mechanics and Materials Senior MEMA 471 (3) Whitcomb 20 Elective Analysis and Design of Smart Composite Materials Aerospace Engineering Senior AERO 401 (3) Valasek 20 Elective Aerospace Vehicle Design I Aerospace Engineering Senior AERO 402 (2) Valasek 20 Elective Aerospace Vehicle Design II Mechanical Engineering Senior MEEN 411 (3) 40 Elective Mechanical Controls Mechanical Engineering Senior MEEN 442 (3) 40 Elective Computer Aided Engineering of Intelligent Systems Chemical Engineering Senior CHEN 464 (3) 40 Elective Process Control and Instrumentation Chemical Engineering Senior CHEN 451 (3) 40 Elective Polymer Engineering Electrical Engineering Senior ELEN 476 (3) 40 Elective Neural Networks and Implementation Electrical Engineering Senior ELEN 422 (3) 40 Elective Physical Implementation of Intelligent Systems New Engineering Minor in Intelligent Systems

  6. Activities using Smart Materials • ENGR 111/112 • Butterfly demonstration • ThermobileTM demonstration • Wire heat engine demonstration • Reconfigurable wing experiment • Underwater Propulsion Machine Project • Walking robot project (Stiquito) • ENGR 214 • Torque tube experiment • Piezoelectric beam demonstration

  7. Walking Robot Project • Project for students in an introductory engineering class (ENGR 111/112) • Robot specifications: • Must be actuated by SMAs • Goal is maximum distance in 3 minutes • Only contact can come from ground • Must be an autonomous system

  8. Multicultural Stiquito

  9. ENGR 111/112 integrated with AERO 401/402 • There are two primary objectives: • Let first year students gain practical experience working on the design and construction of an aerospace vehicle while working with upperclassmen. • Allow seniors to learn and develop important project management skills needed in the workplace today.

  10. ENGR 111/112 integrated with AERO 401/402 • Possible Projects for ENGR 111/112 students • Research Similar Aircraft • Helps to develop research skills in freshman • Allows seniors to effectively manage their time on important design issues • Internal Arrangement of Systems • Helps to develop spatial thinking in freshman • Allows seniors to focus on the actual system design • Landing Gear System • Allows freshman to use basic statics to determine landing gear requirements • Also allows freshman to develop an important mechanical system in the overall design • Study of New Technologies • Lets freshman learn the new and exciting technologies in engineering • The freshman research gives seniors a chance to gain important data and use towards the design of their aircraft.

  11. Design Optimization of a Reconfigurable Active Wing Demonstration Model Synthetic Jet Nozzles Pressure Sensor Arrays Rib with Embbedded SMA Actuators Rib with Embbedded SMA Actuators Lagoudas, Rediniotis

  12. Simplified Rib Structure Model SMA wire Original frame shape A Deformed frame ABAQUS Finite Element model Displacement Point A Experimental: 7.0 Predicted: 9.0194 Experimental setup (Deformed frame) Lagoudas, Rediniotis

  13. SMA Wires Internal Support Structure Compression Springs Linkage to Skin Springs Spar Springs Flow Direction Rib SMA tensioner bolts Active Reconfigurable Wing : Experimental Model - Structural Concept Schematic Drawing FEM Analysis Experimental Model

  14. Active Reconfigurable Wing

  15. Variety of Finite Element Analysis EnvironmentsAero 306 • Commercial finite element programs with integrated pre- and post-processor (eg. FEMAP) • In-house codes (alpha, plot2000, ...) ..advantage=few options • Partial differential equation solver (FlexPDE, PDEase2D, FemLab)

  16. Typical Output from FlexPDE

  17. AERO 405 Urica I Flying Wing (Finite Element Model with Skin)

  18. AERO 405 Urica I Flying Wing (FEM Spar & Rib von-Mises Stresses)

  19. Project Aero 302: Synthetic Jet Actuators Introduction into the classroom: AERO 302 (Aerospace Engineering Laboratory 1) Use of Hot-Wires and Fast-Response Pressure Probes to measure actuator exit velocity as a function of operating frequency

  20. Flow Separation Control (Wing) Without Actuation With Actuation

  21. Identify needs for reconfiguration Knowledge & Feasibility Knowledge Criteria Facilitator Structural Reconfiguration Flow Reconfiguration Autonomous Intelligent Reconfiguration

  22. Electrical Control Surfaces Data Firewall SMA wires Autonomous Intelligent Reconfiguration:Structural Reconfiguration • Hybrid Simplex-Genetic Algorithm • Improve and Refine Existing Algorithm • Hysteretic Actuators • Extend Current Actuators from SISO to MIMO Type • Evaluate in Non-Laboratory Environment • Fly on UAV Testbed SMA experiment

  23. Autonomous Intelligent Reconfiguration:Flow Reconfiguration • Synthetic Jet Actuator Flow Regime Expansion • Extend Low Speed Results to High Speed Regime • Evaluate in Non-Laboratory Environment • Fly on UAV Testbed Electrical Control Surfaces Data Firewall SJA experiment

  24. URICA II • High Cost, Higher Risk • OTS Turbojet propulsion • 400 KTAS maximum speed • 2 hour endurance • 200 pound payload • 1,596 pound takeoff weight • URICA I • Increased Cost and Risk • Ducted fan propulsion • 120 KTAS cruise speed • 2 hour endurance • 120 pound payload • 650 pound takeoff weight • URICA I minus • Low Cost, Low Risk • Pusher prop propulsion • 80 KTAS maximum speed • 1 hour endurance • 25 pound payload • 205 pound takeoff weight URICAFamily Concept In 3 Phases

  25. URICA I Subscale Demonstrator UAV Tractor Configuration Flown May 1999

  26. URICA I minusSubscale Demonstrator UAV Flown May 2000 Pusher Configuration

  27. URICA I ISubscale Demonstrator UAV Ground Testing Completed Summer 2001 Length: 77 inches Span: 69 inches Height: 32 inches Powerplant: 0.90 Ducted Fan Max T.O. Weight: 33 pounds Payload Weight: 5 pounds Empty Weight: 25 pounds

  28. Flight Simulation LaboratoryContact Information • Director Dr. John Valasek Aerospace Engineering Department Texas A&M University 3141 TAMU College Station, TX 77843-3141 (979) 845-1685 valasek@aero.tamu.edu • FSL Web Page • http://flutie.tamu.edu/~fsl/

  29. Assessment & Evaluation • PURPOSE: • To determine what value the project has contributed to student learning, and how • FOCI: • Value added to Student Interest • Value added to StudentContent Knowledge • Value added to Student Engineering and Design Process Learning

  30. Assessment & Evaluation: YEAR 1 OUTCOME MEASUREMENT (PROJECTED)

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